摘要
水下无线传感器网络的传输环境复杂,传输路由构建困难。智能路由算法是指基于人工智能算法实现的路由构建的方法,能够提升水下无线传感器网络通信的综合性能。因此,综述了基于强化学习、启发式学习、模糊逻辑和神经网络等实现水下无线传感器网络智能路由的算法模型,分析比较了智能路由算法性能,给出了智能路由算法设计建议,并结合水下环境特点和关键技术发展,提出了水下无线传感器网络智能路由算法研究的主要挑战与发展趋势。
Due to the complexity of transmission environment,it is difficult to construct the transmission route for underwater wireless sensor networks.Intelligent routing algorithm is a route construction method based on artificial intelligence algorithm,which can improve the comprehensive perfor-mance of underwater wireless sensor networks.Therefore,the models of intelligent routing algorithm for underwater wireless sensor networks based on reinforcement learning,heuristic learning,fuzzy logic and neural network were summarized,the performance of intelligent routing algorithms were analyzed and compared,some suggestions for the design of intelligent routing algorithm were given.Combining the characteristics of underwater environment and the development of key technologies,the challenge and development trend of intelligent routing algorithms for underwater wireless sensor networks were presented.
作者
贲可荣
王斌
林海涛
左名久
BEN Ke-rong;WANG Bin;LIN Hai-tao;ZUO Ming-jiu(College of Electronic Engineering,Naval Univ.of Engineering,Wuhan 430033,China)
出处
《海军工程大学学报》
CAS
北大核心
2022年第6期1-6,共6页
Journal of Naval University of Engineering
基金
国家自然科学基金资助项目(52071153)。
关键词
水下无线传感器网络
智能路由算法
强化学习
启发式学习
模糊逻辑
神经网络
underwater wireless sensor networks
intelligent routing algorithm
reinforcement lear-ning
heuristic learning
fuzzy logic
neural networks
